DWDM波长路由网络光链路负载均衡的波长路由算法

提出了一种应用于密集波分复用(DWDM)波长路由网络(WRON)中光链路负荷均衡的思想,并将其应用于优化Dijkstra算法的权值,同时将优化Dijkstra算法用于遗传算法求得了在不同的负荷条件下波长下限的网络所需波长数目。并将优化前后的算法分别对美国自然科学基金(NSF)网络的最优波长分配进行数值分析,发现基于负荷均衡思想的优化Dijkstra算法能够对网络的性能有很大提高：当遗传代数为20代时,采用优化Dijkstra算法阻塞率降低了约36％;当波长使用数为7个时,降低网络阻塞率10％。     

全光网静态路由选择和波长分配的分层图算法

文章提出一种将路由选择和波长分配结合起来的启发式的路由选择和波长分配(RWA)算法．通过这种新的分层图算法和限制光跳距的加权系数来优化全光网的静态路由选择和波长分配，使建立光连接时所需的波长数达到最少．最后对实际的ARPANet等5种光网络进行了计算机仿真，证明了本算法比以前的算法有更好的性能．     

WDM全光网自适应路由和波长分配算法

研究了无波长转换WDM全光网的路由和波长分配算法（RWA）。通过对已有算法的分析和比较,提出了一种自适应最小跳数路由算法（ADMH）。此算法以最小跳数路由为基础,同时考虑网络状态的变化,因而不仅能尽量少使用网络资源,也能使网络资源的分布保持均衡。计算机模拟仿真的结果表明,这种算法性能在各种网络参数条件下优于或等于已有算法。     

多域光网络中基于优先级的波长路由分配算法

本文提出一种在多域光网络中基于优先级的路由波长分配算法.算法设计旨在解决复杂网络拓扑下,多任务请求路由波长分配问题.本文首先根据复杂网络拓扑情况与任务请求状况,完成多域的划分,对跨域任务的最短路由进行路由分裂;其次依据域内与域间优先级设定策略,完成多任务请求优先级设定;按照优先级顺序,采用模糊优化波长分配算法完成波长分配.仿真结果表明本算法在处理复杂网络拓扑、多任务路由波长分配问题上效果明显,有效的降低了网络请求阻塞率,提高了光网络资源利用率.     

波分复用全光网络路由和波长分配算法

本文根据波分复用全光网络路由和波长分配（ＲＷＡ）实现过程的不同把算法划分为两大类;路由和波长分配分解法和路由和波长分配并行法。对这两类分别讨论了动态和静态ＲＷＡ算法。     

备用路由下一种新的WDM动态路由波长分配算法

基于波长转换度的空闲波长图模型,提出了一种用于WDM光网络在备选路由下的动态RWA算法。路由选择采用K条最短路径算法进行,备选路由集中首选最佳路由时考虑链路的代价、跳数和每一个链路上不可用波长数。通过计算机模拟,分析这3个参数对网络的阻塞率的影响,结果表明本算法中所选定研究的3个参数中选定路由的不可用波长数对网络阻塞率的影响程度比通道的代价,跳数对网络的影响程度大,这个结论对算法中这3个参数数值的选取提供了依据,使算法能够依据实际网络情况动态选取参数,降低网络阻塞率。     

波长交换光网络中路由波长分配技术

路由波长分配问题是在给定连接的情况下,为该请求分配适当的光路进行传输。在无波长转换能力的情况下,需要为光路在其传输的链路上分配相同的波长,这就是波长连续性问题。物理层的光损伤极大的限制了光网络的能力,因此需要可感知损伤的路由波长分配算法来保证传输的质量。对于不同的感知损伤的路由波长分配方式,相应地,有不同的控制平面结构。     

波长路由光网络中RWA算法的设计分析

文章通过对波长路由光网络中路由与波长分配(RWA)问题的研究,介绍了求解路由子问题和波长分配子问题的常用方法,总结了3种类型的RWA问题的优化解决方法,最后对目前RWA算法设计中存在的问题进行了分析并阐述了解决此类问题的重要性.     

WRON中基于波长相关性的波长分配算法

基于节约网络资源和降低网络的阻塞率和波长分配代价的思想,在WRON网络的动态路由波长分配算法中考虑波长相关性.根据波长之间转换度变化,详细定义波长转换器的可转换波长之间的波长转换度,并定义了一个利用二进制数表示的空闲波长指示参数,利用该参数对链路上的空闲波长进行表示,用蚁群系统的蚁群波长信息素更新的计算公式来更新这个指示参数,简化波长分配的过程.通过仿真,证明本算法能够达到节约波长资源,降低网络的阻塞率和波长分配代价的目的.     

一种波长转换受限WDM网络的动态路由和波长分配算法

本文基于分层图模型,提出了在节点波长转换范围受限和波长转换器数目受限情况下,解决WDM网络的动态路由和波长分配问题的一种算法.通过计算机仿真,研究了本算法的性能以及这两种波长转换受限情况对网络阻塞率的影响.     

适用于波长交换光网络（WSON）的波长旋转图模型设计

将网络虚拓扑链路及关联波长均匀分布到旋转球体的表面,建立了新型的波长交换光网络(WSON)的波长旋转图模型,并基于旋转图模型提出了路由波长分配(RWA)新策略及算法.仿真结果表明,每条链路的总波长数分别为4和8时,新策略算法的阻塞率平均降低5.03%和9.71%,资源利用率平均提高3.3%和1.54%.该模型用于解决具有波长转换能力的RWA问题效果明显.     

Wavelength converter placement under different RWA algorithms in wavelength-routed all-optical networks

Sparse wavelength conversion and appropriate routing and wavelength assignment (RWA) algorithms are the two key factors in improving the blocking performance in wavelength-routed all-optical networks. It has been shown that the optimal placement of a limited number of wavelength converters in an arbitrary mesh network is an NP-complete problem. There have been various heuristic algorithms proposed in the literature, in which most of them assume that a static routing and random-wavelength assignment RWA algorithm is employed. However, the existing work shows that fixed-alternate routing and dynamic routing RWA algorithms can achieve much better blocking performance. Our study further demonstrates that the wavelength converter placement and RWA algorithms are closely related in the sense that a well-designed wavelength converter placement mechanism for a particular RWA algorithm might not work well with a different RWA algorithm. Therefore, the wavelength converter placement and the RWA have to be considered jointly. The objective of this paper is to investigate the wavelength converter placement problem under the fixed-alternate routing (FAR) algorithm and least-loaded routing (LLR) algorithm. Under the FAR algorithm, we propose a heuristic algorithm called minimum blocking probability first for wavelength converter placement. Under the LLR algorithm, we propose another heuristic algorithm called weighted maximum segment length. The objective of the converter placement algorithms is to minimize the overall blocking probability. Extensive simulation studies have been carried out over three typical mesh networks, including the 14-node NSFNET, 19-node EON, and 38-node CTNET. We observe that the proposed algorithms not only outperform existing wavelength converter placement algorithms by a large margin, but they also can achieve almost the same performance compared with full wavelength conversion under the same RWA algorithm.     

Dynamic Routing and Wavelength Assignment in Survivable WDM Networks

Dense wavelength division multiplexing (DWDM) networks are very attractive candidates for next generation optical Internet and intelligent long-haul core networks. In this paper we consider DWDM networks with wavelength routing switches enabling the dynamic establishment of lightpaths between each pair of nodes. The dynamic routing and wavelength assignment (RWA) problem is studied in multifiber networks, assuming both protection strategies: dedicated and shared. We solve the two subproblems of RWA simultaneously, in a combined way using joint methods for the wavelength selection (WS) and wavelength routing (WR) tasks. For the WS problem in contrast to existing strategies we propose a new, network state based selection method, which tries to route the demand on each wavelength, and selects the best one according to different network metrics (such as available channels, wavelengths per fiber and network load). For the WR problem we propose several weight functions for using in routing algorithms (Dijkstra or Suurballe), adapting dynamically to the load of the links and to the length of the path. The combination of different wavelength selection and routing (WS&WR) methods enables wide configuration opportunities of our proposed algorithm allowing good adaptation to any network state. We also propose the extension of the RWA algorithm for dedicated and shared protection and a new method for applying shared protection in dynamic WDM environment. The detailed analysis of the strategies demonstrate that our RWA algorithm provides significantly better performance than previous methods in terms of blocking probability whether with or without protection methods.     

XGM波长变换器网络的路由波长分配算法研究

交叉增益调制(XGM,Cross-Gain Modulation),用于波长变换技术,可较简单地制成全光波长变换器。该文先用一个简单的近似模型分析了XGM波长变换器对路径阻塞率的影响,进而根据其本身固有的特点,设计了3种适合于XGM波长变换器网络的路由波长分配算法。通过在美国科学基金会骨干网络(NSFNET,National Science Foundation backbone network),和网孔型(Mesh-torus)网络中的仿真,从网络的阻塞率和公平性两个方面研究XGM波长变换器对网络性能的影响,同时比较了3种算法的性能。仿真结果表明,XGM波长变换器较无波长变换,可以在网络的阻塞率和公平性两个方面都得到较大的改善;3种算法中,FF/lowest算法在改善网络的阻塞率和公平性两个方面都是最优的。     

Binary quadratic programming formulation for routing and wavelength assignment problem in all-optical WDM networks

Routing and wavelength assignment (RWA) is the most concern in wavelength routed optical networks. This paper proposes a novel binary quadratic programming (BQP) formulation for the static RWA problem in order to balance traffic load among a network links more fairly. Subsequently, a greedy heuristic algorithm namely variable-weight routing and wavelength assignment (VW-RWA) is proposed to solve the developed BQP problem. In this method, the weight of a link is proportional to the link congestion. Performance evaluation results for different practical network topologies show that our proposed algorithm can decrease the number of required wavelengths in the network, blocking rate and variance of used wavelengths in each link. Besides, it is shown that the number of required wavelengths to establish call requests for a given network topology can be reduced at lower cost compared to other heuristics.     

WDM网络中基于负载平衡的动态波长路由算法

在WDM网络中，路由和波长分配（RWA）算法是一个焦点问题．当前的RWA算法多是考虑路径跳数或全网拥塞程度，并没有分析各个链路的具体情况．文中提出一种WDM网络中能实现负载平衡的路由算法——最大波长跳数比值（MWHR）算法。基本思想是：根据各备选路径的跳数和其经过的各链路上的可用波长数信息。计算该路径的优先选取权值，优先选取权值最大的路径．仿真表明，该算法在保证较低的阻塞率情况下，能有效的将业务负载均衡分布在网络中的所有链路上．     

WDM光传送网的选路和波长分配算法

文章综述了波分复用(WDM)光传送网的选路和波长分配(RWA)算法;考虑了两种需求情况一种是从建立光路的需求出发,另一种是从运送分组业务的需求出发;还概述了RWA设计中要考虑的附加问题,包括波长变换、抗毁和服务策略.     

Routing and Wavelength Assignment in Optical Networks Using Logical Link Representation and Efficient Bitwise Computation

In this paper, we propose and evaluate a new approach for implementing efficient routing and wavelength assignment (RWA) in wavelength division multiplexing (WDM) optical networks. In our method, the state of a fiber is given by the set of free wavelengths in this fiber and is efficiently represented as a compact bitmap. The state of a multiple-fiber link is also represented by a compact bitmap computed as the logical union of the individual bitmaps of the fibers in this link. Likewise, the state of a lightpath is represented by a similar bitmap computed as the logical intersection of the individual bitmaps of the links in this path. The count of the number of 1-valued bits in the bitmap of the route from source to destination is used as the primary reward function in route selection. A modified Dijkstra algorithm is developed for dynamic routing based on the bitmap representation. The algorithm uses bitwise logical operations and is quite efficient. A first-fit channel assignment algorithm is developed using a simple computation on the bitmap of the selected route. The resulting bitwise routing algorithm combines the benefits of least loaded routing algorithms and shortest path routing algorithms. Our extensive simulation tests have shown that the bitwise RWA approach has small storage overhead, is computationally fast, and reduces the network-wide blocking probability. The blocking performance of our RWA method compares very favorably with three routing methods: fixed alternate routing, shortest path using flooding, and Dijkstra’s algorithm using mathematical operations. Our simulation experiments have also evaluated the performance gain obtained when the network access stations are equipped with finite buffers to temporarily hold blocked connection requests.     

WDM光网络中动态RWA算法仿真的实现

在WDM光网络中，在给定一组连接请求后，需要为之建立路由并分配波长，这被称为路由和波长分配问题（RWA）。由于当前光网络中的业务呈现爆炸式的增长，而光网络中的可用资源却是有限的，因此如何使用合理的RWA算法来优化网络资源的利用就显得尤为重要。目前已有很多文献提出了基于各种优化目标的RWA算法，也都通计算机仿真的方法测试和评估了算法的性能。计算机仿真是进行算法性能评估的主要手段，但是关于算法仿真的实现，—般的文献都涉及的很少，本文主要研究了WDM光网络中动态RWA算法计算机枋真的实现。     

A heuristic algorithm for lightpath scheduling in next-generation WDM optical networks

We study the routing and wavelength assignment (RWA) problem of scheduled lightpath demands (SLDs) in all-optical wavelength division multiplexing networks with no wavelength conversion capability. We consider the deterministic lightpath scheduling problem in which the whole set of lightpath demands is completely known in advance. The objective is to maximize the number of established lightpaths for a given number of wavelengths. Since this problem has been shown to be NP complete, various heuristic algorithms have been developed to solve it suboptimally. In this paper, we propose a novel heuristic RWA algorithm for SLDs based on the bee colony optimization (BCO) metaheuristic. BCO is a newborn swarm intelligence metaheuristic approach recently proposed to solve complex combinatorial optimization problems. We compare the efficiency of the proposed algorithm with three simple greedy algorithms for the same problem. Numerical results obtained by numerous simulations performed on the widely used realistic European Optical Network topology indicate that the proposed algorithm produces better-quality solutions compared to those obtained by greedy algorithms. In addition, we compare the results of the BCO–RWA–SLD algorithm with four other heuristic/metaheuristic algorithms proposed in literature to solve the RWA problem in the case of permanent (static) traffic demands.